Daohui Zhang
Impact in
- Human-Computer Interaction top 2%
- Hand Gesture Recognition Systems
- Gaze Tracking and Assistive Technology
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
Papers in
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- Muscle activation and electromyography studies 17
- Soft Robotics and Applications 9
- Advanced Sensor and Energy Harvesting Materials 8
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- EEG and Brain-Computer Interfaces 11
- Co-authors
- Xingang Zhao (32 shared papers)Yiwen Zhao (8 shared papers)Dezhen Xiong (9 shared papers)Jianda Han (7 shared papers)Yaqi Chu (10 shared papers)Bi Zhang (7 shared papers)Bo Zhu (3 shared papers)Anbin Xiong (2 shared papers)
In The Last Decade
Daohui Zhang
30 papers receiving 665 citations
Daohui Zhang's Hit Papers
Peers
Comparison fields: 5 of 77
- Human-Computer Interaction 159
- Cognitive Neuroscience 273
- Rehabilitation 75
- Biomedical Engineering 514
- Physical Therapy, Sports Therapy and Rehabilitation 18
Countries citing papers authored by Daohui Zhang
This map shows the geographic impact of Daohui Zhang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daohui Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daohui Zhang more than expected).
Fields of papers citing papers by Daohui Zhang
This network shows the impact of papers produced by Daohui Zhang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daohui Zhang. The network helps show where Daohui Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Daohui Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Learning for EMG-based Human-Machine Interaction: A Review Hit paper breakdown → | 2021 | 255 |
| 2 | 2020 | 43 | |
| 3 | 2014 | 41 | |
| 4 | 2022 | 41 | |
| 5 | 2021 | 39 | |
| 6 | 2012 | 32 | |
| 7 | 2019 | 27 | |
| 8 | 2024 | 26 | |
| 9 | 2025 | 21 | |
| 10 | 2022 | 21 | |
| 11 | 2023 | 18 | |
| 12 | 2020 | 14 | |
| 13 | 2023 | 13 | |
| 14 | 2021 | 13 | |
| 15 | 2020 | 11 | |
| 16 | 2018 | 10 | |
| 17 | 2020 | 9 | |
| 18 | 2021 | 8 | |
| 19 | 2020 | 8 | |
| 20 | 2012 | 6 |
About Daohui Zhang
Daohui Zhang is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Control and Systems Engineering, Mechanical Engineering and Human-Computer Interaction, having authored 35 papers that have together received 676 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (17 papers), EEG and Brain-Computer Interfaces (11 papers), Soft Robotics and Applications (9 papers), Advanced Sensor and Energy Harvesting Materials (8 papers), Shape Memory Alloy Transformations (6 papers), Gaze Tracking and Assistive Technology (5 papers), Iterative Learning Control Systems (4 papers) and Piezoelectric Actuators and Control (3 papers). The work is most often cited by research in Human-Computer Interaction (159 citations), Cognitive Neuroscience (273 citations), Rehabilitation (75 citations), Biomedical Engineering (514 citations) and Physical Therapy, Sports Therapy and Rehabilitation (18 citations). Daohui Zhang has collaborated with scholars based in China, Canada and Singapore. Frequent co-authors include Xingang Zhao, Yiwen Zhao, Dezhen Xiong, Jianda Han, Yaqi Chu, Bi Zhang, Bo Zhu, Anbin Xiong, Guangjun Liu and Xiaoguang Li. Their work appears in journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE Access, IEEE/CAA Journal of Automatica Sinica, Frontiers in Neurorobotics and IEEE Sensors Journal.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.